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    Connectionist Modelling in Psychology: A Localist Manifesto.Mike Page - 2000 - Behavioral and Brain Sciences 23 (4):443-467.
    Over the last decade, fully distributed models have become dominant in connectionist psychological modelling, whereas the virtues of localist models have been underestimated. This target article illustrates some of the benefits of localist modelling. Localist models are characterized by the presence of localist representations rather than the absence of distributed representations. A generalized localist model is proposed that exhibits many of the properties of fully distributed models. It can be applied to a number of problems that are difficult for fully (...)
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  2. Climate Change: Time to Do Something Different.Nadine Page & Mike Page - 2014 - Frontiers in Psychology 5.
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    Sticking to the Manifesto.Mike Page - 2000 - Behavioral and Brain Sciences 23 (4):496-505.
    The commentators have raised some interesting issues but none question the viability of a localist approach to connectionist modelling. Once localist models are properly defined they can be seen to exhibit many properties relevant to the modelling of both psychological and brain function. They can be used to implement exemplar models, prototype models and models of sequence memory and they form a foundation upon which symbolic models can be constructed. Localist models are insensitive to interference and have learning rules that (...)
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  4. Computational Models of Short-Term Memory: Modelling Serial Recall of Verbal Material.Mike Page & Richard Henson - 2001 - In Jackie Andrade (ed.), Working Memory in Perspective. Psychology Press. pp. 177--198.
     
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